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HT PHOTO DB SIGNED

High throughput computing for accelerated photovoltaic material discovery: From materialdatabase to the new generation of photovoltaic materials.

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

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Project "HT PHOTO DB" data sheet

The following table provides information about the project.

Coordinator
UNIVERSIDAD DE SEVILLA 

Organization address
address: CALLE S. FERNANDO 4
city: SEVILLA
postcode: 41004
website: www.us.es

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Total cost 158˙121 €
 EC max contribution 158˙121 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-04-01   to  2020-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSIDAD DE SEVILLA ES (SEVILLA) coordinator 158˙121.00
2    UNIVERSIDAD DE BURGOS ES (BURGOS) participant 0.00

Map

 Project objective

This proposal combines synergistically the predictive power of quantum mechanical calculations with a high throughput framework for the accelerated photovoltaic material discovery. The main objective of the project is the creation of a material database that contains no crystalline-complex materials, which can be potential candidate for the development of a new generation of photovoltaic material. The robustness of the project is reinforced by the secondment of Onyx solar which will synthesis and characterize the most promising candidates to validate the methodology and optimize the process. The collaboration between ICCRAM researchers and facilities and the experience of the fellow in this multidisciplinary field guarantee the ideal conditions for the success of the research and the development of new methodologies, infrastructures and knowledge that are highly linked to the roadmap described in Horizon 2020

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The information about "HT PHOTO DB" are provided by the European Opendata Portal: CORDIS opendata.

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